BIG DATA AS INNOVATIVE APPROACH FOR USABILITY EVALUATIONS OF BUILDINGS

Purpose: The purpose of this paper is to investigate how Big Data can add a new dimension to usability evaluations of buildings. Background: There is a tremendous growth in the volume of available data, creating the “Big Data” trend. Industries such as IT, retail and transportation can present a number of examples of successful applications of Big Data. Usability has traditionally been analysed by qualitative research methods, and Big Data gives an opportunity to add quantitative data in such evaluations. Approach: The study is based on literature research and interviews with 15 professionals in IT facilities management and government agencies. We discuss potential data that can be used for usability evaluations of buildings. Results: Big Data is creating new opportunities to analyse a phenomenon based on different types of data. Interesting data categories include: internet traffic, movement-related data, physical environment data, typically from different types of sensors and commercial activity. Possible problematic issues related to use of Big Data are availability, applicability, relevance, privacy policy, ownership, cost and competence. The study indicates that none of the challenges need to hinder use of Big Data when evaluating the usability of in buildings evaluation, provided that the issues are properly managed. We present a sample of Big Data that may be used for evaluation of building usability. Practical Implications: Our conclusion is that there are major advantages in using Big data, increasing the opportunities for the evaluator to find indicators that are relevant to the building being evaluated. Use of Big Data can serve as a step towards a stronger technology focus in usability evaluations of buildings, and thus support innovation in building design and facilities management. Research limitations: The research is mainly done in a Norwegian context. Originality: We have found few previous studies that explicitly link Big Data and evaluation.

[1]  George Rice.  Excellence by design , 2016 .

[2]  James A. Powell.  Intelligent design teams design intelligent buildings , 1990 .

[3]  Wolfgang F.E. Preiser and Jacqueline C. Vischer,et al.  The evolution of building performance evaluation: an introduction , 2006 .

[4]  Charles Grantham.  The future of work , 1999 .

[5]  Thomas H. Davenport,et al.  Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data , 2012 .

[6]  Antje Junghans.  Integration of Principles for Energy-efficient Architecture and Sustainable Facilities Management , 2012 .

[7]  Walid Belassi,et al.  A new framework for determining critical success/failure factors in projects , 1996 .

[8]  M. Waldrop,et al.  Community cleverness required , 2008, Nature.

[9]  Eric Loe,et al.  Intelligent Buildings in South East Asia , 1998 .

[10]  M. Schweitzer,et al.  Healing spaces: elements of environmental design that make an impact on health. , 2004, Journal of alternative and complementary medicine.

[11]  Keith Alexander.  Usability : philosophy and concepts , .

[12]  Reza Rawassizadeh,et al.  A persuasive approach for indoor environment tidiness , 2011 .

[13]  Josep Blat,et al.  New Tools for Studying Visitor Behaviours in Museums: A Case Study at the Louvre , 2012, ENTER.

[14]  Siri Hunnes Blakstad,et al.  Methods and tools for evaluation of usability in buildings , 2008 .

[15]  Gerunda Hughes,et al.  The 2002 User Friendly Handbook for Project Evaluation , 2002 .

[16]  Siti Norsazlina Haron,et al.  Towards Healthcare Service Quality: An Understanding of the Usability Concept in Healthcare Design , 2012 .

[17]  Josep Blat,et al.  Digital Footprinting: Uncovering Tourists with User-Generated Content , 2008, IEEE Pervasive Computing.

[18]  S. Cesario,et al.  Designing health care environments: Part I. Basic concepts, principles, and issues related to evidence-based design. , 2009, Journal of continuing education in nursing.

[19]  V. Curtis,et al.  Dirt, disgust and disease: a natural history of hygiene , 2007, Journal of Epidemiology and Community Health.

[20]  Geir K. Hansen,et al.  The Usability of facilities: Experiences and effects , 2012 .

[21]  Wayne Free,et al.  Excellence by Design. , 1997 .

[22]  M. Hilbert,et al.  Big Data for Development: From Information- to Knowledge Societies , 2013 .

[23]  H. Demsetz,et al.  Production, Information Costs, and Economic Organization , 1975, IEEE Engineering Management Review.

[24]  Edward T. White,et al.  Post-Occupancy Evaluation , 1988 .

[25]  Suvi Nenonen,et al.  CIB W111, Research Report- Usability of Workplaces, phase 3 , 2010 .

[26]  Knut Samset,et al.  Etterevaluering av statlige investeringsprosjekter. Konklusjoner, erfaringer og råd basert på pilotevaluering av fire prosjekter , 2013 .

[27]  松岡 利昌,et al.  ファシリティマネジメントハンドブック = The facility management handbook , 1992 .

[28]  J. Manyika.  Big data: The next frontier for innovation, competition, and productivity , 2011 .

[29]  Shah Alam,et al.  "Usability Evaluation": Criteria for Quality Architecture In- Use , 2011 .

[30]  Charles E. Grantham,et al.  The future of work: the promise of the new digital work society , 2000 .